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itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Intro to Relari</span><meta itemprop="position" content="1"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><div class="row"><div class="col col--12 markdown"><header><h1>Intro to Relari</h1></header> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="-welcome-to-relari-docs">🚀 Welcome to Relari Docs<a href="#-welcome-to-relari-docs" class="hash-link" aria-label="Direct link to 🚀 Welcome to Relari Docs" title="Direct link to 🚀 Welcome to Relari Docs"></a></h2> <p>In the <strong>Getting Started</strong> section, we will walk through:</p> <ul> <li>The high-level <strong>Philosophy and Concepts</strong> behind Relari's data-driven evaluation and improvement toolkit.</li> <li>How to use the <strong>Relari Cloud UI</strong> to generate datasets, run experiments, and auto-improve your LLM applications.</li> </ul> <p>For specific references and code examples, please visit the <strong><a href="/sdk/intro">Python SDK & CLI</a></strong>, <strong><a href="/api/relariapi">REST API</a></strong> and <strong><a href="/metrics/intro">Metrics</a></strong> sections.</p> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="-purpose">🎯 Purpose<a href="#-purpose" class="hash-link" aria-label="Direct link to 🎯 Purpose" title="Direct link to 🎯 Purpose"></a></h2> <p>LLMs are incredibly powerful but tricky to work with because they are non-deterministic. This often means LLM applications get stuck in the alpha/beta phases, with no clear path to true production, especially for mission-critical applications.</p> <p>To get to production, AI developers have tons of options to sift through—different models, prompting strategies, RAG architectures, agent setups, and more. The best choice often depends on the specific use case. For example, a customer support chatbot vs. a legal copilot will likely need very different system design.With so many options, it's hard to figure out the right path forward.</p> <p>Relari is here to take the guesswork out of this process. We use a data-driven approach to help AI teams systematically make these design choices and get from demo to production faster.</p> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="-why-data-driven-approach">📊 Why Data-Driven Approach?<a href="#-why-data-driven-approach" class="hash-link" aria-label="Direct link to 📊 Why Data-Driven Approach?" title="Direct link to 📊 Why Data-Driven Approach?"></a></h2> <p>Data can be your secret weapon to make your AI app stand out. Leveraging use-case-specific data helps you understand your app's performance better, automate parts of the iteration process, and make your application more reliable.</p> <p>Using data throughout your development—from early experiments to after launch—lets you make confident decisions and boosts user satisfaction.</p> <p>How Relari Helps AI Teams:</p> <ul> <li><strong>Rigorous Evaluation and Benchmarking</strong>: Use comprehensive, tailored metrics to measure and compare performance.</li> <li><strong>Golden Dataset Generation</strong>: Curate high-quality datasets from human labels or synthetically generate at scale.</li> <li><strong>Automated Prompt Optimization</strong>: Automatically optimize prompts to capture nuanced requirements.</li> <li><strong>Systematic LLM Fine-Tuning</strong>: Take the guesswork out of the fine-tuning domain-specific LLMs to outperform large models.</li> <li><strong>Run-time Monitoring</strong>: Monitor your LLM app's performance in production and use data to inform adjustments.</li> </ul> <figure class="figure_j0jc"><img src="/img/relari-features.png" alt="Relari data-driven evaluation and improvement toolkit" class="screenshotImg_w3qq themedComponent_mlkZ themedComponent--light_NVdE"><img src="/img/relari-features.png" alt="Relari data-driven evaluation and improvement toolkit" class="screenshotImg_w3qq themedComponent_mlkZ themedComponent--dark_xIcU"><figcaption class="caption_VNjp">Relari data-driven evaluation and improvement toolkit</figcaption></figure> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="-background">🔍 Background<a href="#-background" class="hash-link" aria-label="Direct link to 🔍 Background" title="Direct link to 🔍 Background"></a></h2> <p>Relari started as an open-source LLM evaluation framework <a href="https://github.com/relari-ai/continuous-eval/" target="_blank" rel="noopener noreferrer">continuous-eval</a>, offering 30+ metrics covering various applications. As we iterate with continuous feedback from the developer community, we realized that AI builders need much more than standard metrics and there's a lot more potential we can help unlock by building the comprehensive toolkit to enable the data flywheel in LLM products.</p> <p>Whether you're already using continuous-eval or just starting with Relari Cloud, we're excited to help you build better LLM applications faster. We look forward to hearing your feedback as we shape this new category of data-driven development infrastructure.</p></div></div></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="row margin-top--sm theme-doc-footer-tags-row"><div class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0" href="/tags/getting-started">getting-started</a></li></ul></div></div></footer></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--next" href="/getting-started/concepts"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Core Concepts</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#-welcome-to-relari-docs" class="table-of-contents__link toc-highlight">🚀 Welcome to Relari Docs</a></li><li><a href="#-purpose" class="table-of-contents__link toc-highlight">🎯 Purpose</a></li><li><a href="#-why-data-driven-approach" class="table-of-contents__link toc-highlight">📊 Why Data-Driven Approach?</a></li><li><a href="#-background" class="table-of-contents__link toc-highlight">🔍 Background</a></li></ul></div></div></div></div></main></div></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Relari Documentation</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/">Getting Started</a></li><li class="footer__item"><a class="footer__link-item" href="/sdk/intro">Python SDK & CLI</a></li><li class="footer__item"><a class="footer__link-item" href="/api/relariapi">REST API</a></li><li class="footer__item"><a class="footer__link-item" href="/metrics/intro">Metrics</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="https://discord.gg/GJnM8SRsHr" target="_blank" rel="noopener noreferrer" class="footer__link-item">Discord<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://x.com/RelariAI" target="_blank" rel="noopener noreferrer" class="footer__link-item">X<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://www.linkedin.com/company/relari" target="_blank" rel="noopener noreferrer" class="footer__link-item">Linkedin<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a href="https://www.relari.ai/" target="_blank" rel="noopener noreferrer" class="footer__link-item">relari.ai<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://www.relari.ai/blog" target="_blank" rel="noopener noreferrer" class="footer__link-item">Blog<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://github.com/relari-ai" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">© 2024 Relari, inc. 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